A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy

Jul 5, 2025·
Muheng Li
,
Carla Winterhalter
Xia Li
Xia Li
,
Sairos Safai
,
Antony J. Lomax
,
Ye Zhang
· 0 min read
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Abstract
Proton therapy currently relies on computed tomography (CT) imaging despite magnetic resonance imaging’s (MRI) superior soft-tissue contrast. While synthetic CTs can be generated from magnetic resonance (MR) images, this introduces additional complexity. We present a deep learning-based dose engine enabling direct proton dose calculation from MR images to streamline workflows while maintaining Monte Carlo (MC)-level accuracy.
Type
Publication
Physics and Imaging in Radiation Oncology
Mr-Guided Proton Therapy Dose Calculation
Xia Li
Authors
Xia Li
Associate Professor (incoming)
Leading research at the intersection of computer vision, medical imaging and radiotherapy.